Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China by Qinggang Meng, Xiaolan Chen, Hui Wang, Wanfang Shen, Peixin Duan, Xinyue Liu

“…The distribution patterns, transition probabilities, and driving mechanisms of the CCD of PCCR are explored using kernel density estimation, Markov chains, and geographically and temporally weighted regression (GTWR). …”
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Estimation the pH of CO2-saturated NaCl solutions using gene expression programming: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Parirokh Ebrahimi, Moein Kafi, Hamed Nikravesh, Yousef Kazemzadeh

“…A cumulative frequency plot of absolute relative error showed all data points had errors below 0.102, with over 90 % below 0.0615. Kernel density estimation plots confirmed the model generally underestimated pH values. …”
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Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria by Olalekan J. Taiwo, Joshua O. Akinyemi, Ayodeji Adebayo, Oluwafemi A. Popoola, Rufus O. Akinyemi, Onoja M. Akpa, Paul Olowoyo, Akinkunmi P. Okekunle, Ezinne O. Uvere, Omotolani Titilayo Ajala, Chukwuemeka Nwimo, Olayinka J. Adebajo, Adewale E. Ayodele, Ayodeji Salami, Oyedunni S. Arulogun, Olanrewaju Olaniyan, Richard W. Walker, Carolyn Jenkins, Bruce Ovbiagele, Mayowa Owolabi

“…Spatial patterns were analyzed using the Nearest Neighbour Statistic, Ripley K Function, and Kernel Density Estimation, while Binomial logistic regression identified predictors. …”
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Identification of the primary pollution sources and dominant influencing factors of soil heavy metals using a random forest model optimized by genetic algorithm coupled with geodet... by Tong Liu, Mingshi Wang, Mingya Wang, Qinqing Xiong, Luhao Jia, Wanqi Ma, Shaobo Sui, Wei Wu, Xiaoming Guo

“…Pollution sources were identified using Absolute Principal Component Score (APCS), with 8 anthropogenic factors, 9 natural factors, and 4 soil physicochemical properties mapped using Geographic Information System (GIS) kernel density estimation. Geodetector and a genetic algorithm optimized random forest model (GA-RF) were employed to quantify the dominant factors and precisely identify pollution sources. …”
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Estimation of blue carbon stock in the Liaohe Estuary wetland based on soil thickness and multi-scenario modeling by Lina Ke, Nan Lei, Shilin Zhang, Changkun Yin, Yao Lu, Lei Wang, Qin Tan, Yu Zhao, Quanming Wang

“…This paper took the Liaohe Estuary wetland as the study area, combined with the distributional difference characteristics of soil carbon density in wetlands, constructed a wetland carbon density estimation method that improved the SoLIM model, and coupled the PLUS and InVEST models to achieve the fine estimation of wetland blue carbon stock under different simulation scenarios. …”
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Status and annual change of vulnerability among middle-aged and elderly people with cardiometabolic multimorbidity in a division of Xinjiang Production and Construction Corps, 2017... by Ziqi WANG, Jieting CHEN, Mei ZHANG, Mingxia JING

“…The entropy weighting method was used to dynamically evaluate the vulnerability level of the CMM population from 2017 to 2021. Kernel density estimation was used to analyze the spatial and temporal evolution characteristics of the vulnerability level of the CMM population in different community types. …”
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Optimal timing of organs-at-risk-sparing adaptive radiation therapy for head-and-neck cancer under re-planning resource constraints by Fatemeh Nosrat, Cem Dede, Lucas B. McCullum, Raul Garcia, Abdallah S.R. Mohamed, Jacob G. Scott, James E. Bates, Brigid A. McDonald, Kareem A. Wahid, Mohamed A. Naser, Renjie He, Aysenur Karagoz, Amy C. Moreno, Lisanne V. van Dijk, Kristy K. Brock, Jolien Heukelom, Seyedmohammadhossein Hosseinian, Mehdi Hemmati, Andrew J. Schaefer, Clifton D. Fuller

“…The MDP parameters were derived from a dataset comprising 52 HNC patients treated between 2007 and 2013. Kernel density estimation was used to smooth the sample distributions. …”
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An Estimate of Wolverine Density for the Canadian Province of Alberta by Jason T. Fisher, Mehnaz Jahid, Robin Gutsell, Anne Hubbs, Laura L. E. Cowen, Mirjam Barrueto, Nicole Heim, John Paczkowski

“…We synthesised existing density estimates and wolverine–habitat relationships to create a province‐wide density estimate for wolverines. …”
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SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA by AJIBESIN SAMSON, PONNLE AKINLOLU, OYEDEPO OLUGBENGA

“…The system developed in this work uses deep learning and computer vision techniques to estimate the density of traffic and uses this information to adaptively switch traffic signals based on the traffic density estimated. Simulation results show that in 30 minutes of simulation, 32 signal cycles can be achieved and 967 vehicles can move at these two inter-dependent intersections …”
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Semi-visible jets, energy-based models, and self-supervision by Luigi Favaro, Michael Krämer, Tanmoy Modak, Tilman Plehn, Jan Rüschkamp

“…We use background-enhanced data to create a sensitive representation and evaluate the representations using a CLR-inspired anomaly score and a normalized autoencoder as density estimators. Our results show a remarkable sensitivity for a wide range of semi-visible jets and are more robust than a supervised classifier trained on a specific signal.…”
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Estimation de la densité par comptage des nids des Bonobos (Pan paniscus) dans la région de Bolobo des localités de Nkala et Embirima, République Démocratique du Congo : résultats... by Ulrich Maloueki, Simon‑Pierre Kumugo Ndimbo, Jean Mukulire Malekani, Bekeli Nseu Mbomba

“…We determined the densities of the populations of bonobos in the mosaics of forests intersected with savannas in this area. The densities estimated during September 2008, have been relatively low 0.04 to 0.21 bonobos/km2, by the method of nests counting, along the transects lines, respectively for the secondary forest of Nkala-MMT (Mbou-Mon-Tour) and the primary forest of Embirima. …”
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A Global Thermospheric Density Prediction Framework Based on a Deep Evidential Method by Yiran Wang, Xiaoli Bai

“…It can also obtain reliable uncertainty estimations. Global density estimations at altitudes from 200 to 550 km are also presented and compared with empirical models on both quiet and storm conditions.…”
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A reliance on human habitats is key to the success of an introduced predatory reptile. by Tom Major, Lauren Jeffrey, Guillem Limia Russel, Rebecca Bracegirdle, Antonio Gandini, Rhys Morgan, Benjamin Michael Marshall, John F Mulley, Wolfgang Wüster

“…We investigated snake home range size using Autocorrelated Kernel Density Estimators (AKDE). Using AKDE-weighted Habitat Selection Functions we identified preferences for habitat features in a mosaic of habitats, and we used Integrated Step Selection Functions to further explore how these features influence movement. …”
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Effects of emigration on home range and behavior of Atlantic spotted dolphins (Stenella frontalis) by Brittini A. Hill, Denise L. Herzing, Jeremy M. Bono

“…We examined the home ranges for LBB residents on LBB (2005–2012), LBB immigrants on GBB (2013–2020), and GBB residents on GBB (2013–2020). Fixed kernel density estimators revealed LBB immigrant dolphins maintained significantly larger home ranges (34–43%) and core areas (42–94%) than both LBB and GBB residents. …”
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Validation of the α-μ Model of the Power Spectral Density of GPS Ionospheric Amplitude Scintillation by Kelias Oliveira, Alison de Oliveira Moraes, Emanoel Costa, Marcio Tadeu de Assis Honorato Muella, Eurico Rodrigues de Paula, Waldecir Perrella

“…The results show that the proposed model fits power spectral densities estimated from field data quite well.…”
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Estimated baseline density of a spotted hyaena population in a post-war landscape by Willem D. Briers-Louw, Tamar A. Kendon, Matthew S. Rogan, Alison J. Leslie, Drew Bantlin, Emma Evers, David Gaynor, Peter Lindsey, João Almeida, Vincent N. Naude

“…We conducted the first robust population density estimate for a spotted hyaena population in Mozambique using spatially explicit capture–recapture methodologies. …”
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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…Its ability to capture calm hours and extreme wind speeds provided more accurate power density estimates, with errors averaging 23%, compared to 33% and 42% for the Weibull and Rayleigh-Rice distributions, respectively. …”
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Space use of polar bears (Ursus maritimus) in Davis Strait in relation to sea ice and harp seals (Pagophilus groenlandicus) by Larissa Thelin, Evan Richardson, Garry Stenson, Erik Hedlin, Andrew E. Derocher

“…Polar bears (n = 18) tracked in 1991–2001 for 7–12 months had a mean 95% minimum convex polygon (MCP) home range size of 108 146 km2 (standard error of the mean (SE) = 18 252 km2) and a mean 95% kernel density home range size (kernel density estimate (KDE)) of 76 863 km2 (SE = 12 260 km2). …”
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Cluster Candidates with Massive Quiescent Galaxies at z ∼ 2 by Tomokazu Kiyota, Makoto Ando, Masayuki Tanaka, Alexis Finoguenov, Sadman Shariar Ali, Jean Coupon, Guillaume Desprez, Stephen Gwyn, Marcin Sawicki, Rhythm Shimakawa

“…We adopt a Gaussian kernel density estimate with two different spatial scales (10″ and 60″) to draw a density map of massive ( $\mathrm{log}({M}_{* }/{M}_{\odot })\gt 10.5$ ) and quiescent ( $\mathrm{log}(\mathrm{sSFR}\,[{\mathrm{yr}}^{-1}])\lt -10$ ) galaxies at z  ∼ 2. …”
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